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dc.contributor.advisorJames L. Kirtley and Scott Kennedy.en_US
dc.contributor.authorWang, Jiankang, Ph. D. Massachusetts Institute of Technologyen_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2010-04-28T15:33:56Z
dc.date.available2010-04-28T15:33:56Z
dc.date.copyright2008en_US
dc.date.issued2009en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/54447
dc.descriptionThesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, June 2009.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (p. 219-220).en_US
dc.description.abstractIn the past several decades, many demand-side participation features have been applied in the electricity power systems. These features, such as distributed generation, on-site storage and demand response, add uncertainties to both the short-term and long-term operation of the modem power systems. On the contrary, many modem power systems are characterized by the deregulated market structure. How to operate these features under deregulated power markets is worth consideration. This thesis presents a new demand responsive bidding mechanism in wholesale electricity pools. The proposed bidding mechanism models demand response with Price Elasticity Matrices (PEM). Under the proposed bidding mechanism, the resultant generation schedules and electricity rates become dependent variable on demand response. This relation gives bidding results that are closer to the actual market equilibrium. By applying this bidding mechanism, more efficient market behaviors are achieved in the short term, and generation and transmission resources are better utilizes in the long term. In addition, compared to the market clearing price and generation dispatch schedule settled by the traditional bidding mechanisms, bidding results obtained under our proposed mechanisms are more effective instructions for the design and implementation of demand-side participation programs. This thesis presents the design of the proposed bidding mechanism in terms of its bidding rules, bidding acceptance rules and settlement rules. The bidding mechanism's mathematical model is formulated as an optimization problem.en_US
dc.description.abstract(cont.) Bidding results are obtained as closed-formed solution of the optimization problem. In addition, this thesis presents an improved market interaction algorithm to implement the bidding mechanism. Multiple benefits of applying the bidding mechanism are shown by numerical example under various system statuses and end-user response types.en_US
dc.description.statementofresponsibilityby Jiankang Wang.en_US
dc.format.extent220 p.en_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleA demand responsive bidding mechanism with price elasticity matrix in wholesale electricity poolsen_US
dc.title.alternativeA demand responsive bidding mechanism with price elasticity matrixen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc550571450en_US


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